Data Science in the Liberal Arts Workshop (W&L 2019)

Heyer

Event: Data Science in the Liberal Arts
Date & Location: June 6-7, 2019 at Washington and Lee University
Workshop Goals:

  • Agenda & Program (Background and Purpose)
  • Establishing a Think Tank on Data Science in the Liberal Arts
  • Taking hands on approaches to curating, developing, and sharing liberal arts pedagogies and teaching materials for data science that broadly engage and support our students across the disciplines.

Attendees: members and friends of the LACOL DS+ working group

Scroll down for workshop resources, slides, and video gallery

Keynote Talk:

https://www.stthomas.edu/cisc/faculty/amelia-mcnamara.htmlData Journalism as a Liberal Art
Prof. Amelia McNamara
Department of Computer & Information Sciences
University of St. Thomas

One of the main ways the general public encounters products of data analysis is through journalism. Data journalists strive to explain complex stories using visualization, statistics, and heavy use of contextualization. As we incorporate data science into the liberal arts, data journalism provides a case study as a field in which the sciences and the humanities are consciously linked. In this talk, I’ll discuss the history of data journalism, how I see it fitting into a liberal arts framework, and experiences from a class I taught on data journalism.

A. McNamara SLIDES

More Workshop Talks and Resources:

1. R. DeVeaux – Data Science for All? 

2. L. Heyer – Starting a Data Science Minor

(more…)

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Student DataCon@WLU, networking for data analytics, big data and statistical computing

In November 2017, Washington and Lee University held its first DataCon, a new event for students. The two-day program was designed to highlight the impacts and career paths for data analytics, big data and statistical computing across a variety of industries.  The gathering brought together students, faculty, staff and alumni for a series of discussions and networking opportunities around data sciences in both academic and professional life, including ways that analytics are used in the fields of advertising, finance and technology.

DataCon-692x768Reflecting on the experience, DataCon co-organizer Professor Denny Garvis noted:

We can tell already that we are tapping into an existing but quiet network of students, faculty and alumni who are really doing interesting work

The inaugural conference was so successful that another DataCon will be held next year. (more…)

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Adaptive Learning (and Adaptive Teaching) in a First Course in Applied Statistics


Session 9: Adaptive Learning (and Adaptive Teaching) in a First Course in Applied Statistics
Speaker: Denny Garvis, Professor of Business Admin & Mgmt, The Williams School at Washington & Lee University
Date & Location: June 16 at Vassar College

D. Garvis, Washington & Lee University
D. Garvis, Washington & Lee University

This presentation serves as a practical follow-up to the Candace Thille keynote from LACOL 2016. Specifically, adaptive learning courseware originally developed in the Online Learning Initiative (OLI) at Carnegie Mellon University has been used in the Applied Statistics course in the Williams School at Washington and Lee since 2014. Pedagogical advantages, trade-offs in teaching, and student learning outcomes from using the OLI Statistical Reasoning courseware, now hosted by Stanford EdX, will be discussed.

Additional Resources:

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